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The AI Risk Mitigation Fund (ARM Fund) provides grants towards technical research, policy, and training programs for new researchers focused on reducing catastrophic risks from advanced artificial intelligence. Launched in December 2023, the ARM Fund supports projects across three core focus areas: technical AI alignment research, AI policy and governance, and building research capacity in AI safety fields.
The fund targets researchers and organizations developing practical approaches to mitigating risks from increasingly capable AI systems, including work on alignment techniques, interpretability, evaluation methods, and governance frameworks. Recent grantees include leading researchers at the University of Cambridge, Centre for the Governance of AI, Oregon State University, and Leap Laboratories.
The ARM Fund is a project of Effective Ventures Foundation, positioning it within the broader effective altruism ecosystem of AI safety funding. Applications are accepted on a rolling basis.
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Or search similar grants →According to the current listing, eligibility includes: Researchers and organizations working on technical AI alignment, AI policy and governance, or AI safety capacity building. Academic researchers, independent researchers, research organizations, and nonprofits are eligible. International applicants are welcome. Confirm the full requirements in the official notice before applying.
The current listing shows grants typically range from $55,000 to $232,000 based on recent awards. Examples include $200,000 (University of Cambridge), $231,608 (Centre for the Governance of AI), $220,000 (Oregon State University), $195,000 (Leap Laboratories), $55,000 (University College London). Verify award ceilings, matching requirements, and allowable costs in the official notice.
AI Risk Mitigation Fund Technical AI Safety and Governance Grants is funded by AI Risk Mitigation Fund (a project of Effective Ventures Foundation). Verify program details on the funder's official page before applying.
Start from the official opportunity page linked in this listing — it carries the sponsor's submission instructions.
CIFAR and the Canadian AI Safety Institute fund Catalyst Project proposals addressing sociotechnical considerations in AI safety. The program supports interdisciplinary research in machine learning applications to science and society, with recent funded projects spanning misinformation combat, trustworthy language models, democratic alignment of AI systems, Indigenous AI governance, and real-world safety in autonomous systems. Designed to catalyze new research areas and collaborations at the intersection of social sciences, humanities, and AI safety.
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